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/_/ /      / / /____\/ /       \ \_\\ \/___/ /
\_\/       \/_________/         \/_/ \_____\/

Enter the query into the form above. You can look for specific version of a package by using @ symbol like this: gcc@10.

API method:

GET /api/packages?search=hello&page=1&limit=20

where search is your query, page is a page number and limit is a number of items on a single page. Pagination information (such as a number of pages and etc) is returned in response headers.

If you'd like to join our channel webring send a patch to ~whereiseveryone/toys@lists.sr.ht adding your channel as an entry in channels.scm.


r-reinforcementlearning 1.0.5
Propagated dependencies: r-hash@2.2.6.3 r-ggplot2@4.0.1 r-data-table@1.17.8
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://cran.r-project.org/package=ReinforcementLearning
Licenses: Expat
Build system: r
Synopsis: Model-Free Reinforcement Learning
Description:

This package performs model-free reinforcement learning in R. This implementation enables the learning of an optimal policy based on sample sequences consisting of states, actions and rewards. In addition, it supplies multiple predefined reinforcement learning algorithms, such as experience replay. Methodological details can be found in Sutton and Barto (1998) <ISBN:0262039249>.

r-rsghb 1.2.2
Propagated dependencies: r-mcmcpack@1.7-1
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://github.com/RSGInc/RSGHB
Licenses: GPL 3
Build system: r
Synopsis: Functions for Hierarchical Bayesian Estimation: A Flexible Approach
Description:

This package provides functions for estimating models using a Hierarchical Bayesian (HB) framework. The flexibility comes in allowing the user to specify the likelihood function directly instead of assuming predetermined model structures. Types of models that can be estimated with this code include the family of discrete choice models (Multinomial Logit, Mixed Logit, Nested Logit, Error Components Logit and Latent Class) as well ordered response models like ordered probit and ordered logit. In addition, the package allows for flexibility in specifying parameters as either fixed (non-varying across individuals) or random with continuous distributions. Parameter distributions supported include normal, positive/negative log-normal, positive/negative censored normal, and the Johnson SB distribution. Kenneth Train's Matlab and Gauss code for doing Hierarchical Bayesian estimation has served as the basis for a few of the functions included in this package. These Matlab/Gauss functions have been rewritten to be optimized within R. Considerable code has been added to increase the flexibility and usability of the code base. Train's original Gauss and Matlab code can be found here: <http://elsa.berkeley.edu/Software/abstracts/train1006mxlhb.html> See Train's chapter on HB in Discrete Choice with Simulation here: <http://elsa.berkeley.edu/books/choice2.html>; and his paper on using HB with non-normal distributions here: <http://eml.berkeley.edu//~train/trainsonnier.pdf>. The authors would also like to thank the invaluable contributions of Stephane Hess and the Choice Modelling Centre: <https://cmc.leeds.ac.uk/>.

r-rchea3 0.2.0
Propagated dependencies: r-writexl@1.5.4 r-tidyselect@1.2.1 r-rlang@1.1.6 r-lubridate@1.9.4 r-jsonlite@2.0.0 r-httr@1.4.7 r-ggplot2@4.0.1 r-dplyr@1.1.4 r-crayon@1.5.3 r-cli@3.6.5
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://github.com/ckntav/rChEA3
Licenses: Expat
Build system: r
Synopsis: R Client for the 'ChEA3' Transcription Factor Enrichment API
Description:

Interface to the ChEA3 transcription factor enrichment API. ChEA3 integrates evidence from ChIP-seq, co-expression, and literature resources to prioritize transcription factors regulating a given set of genes. This package provides convenient R functions to query the API, retrieve ranked results across collections (including integrated scores), and standardize output for downstream analysis in R/Bioconductor workflows. See <https://maayanlab.cloud/chea3/> or Keenan (2019) <doi:10.1093/nar/gkz446> for further details.

r-reproducible 3.0.0
Propagated dependencies: r-lobstr@1.1.3 r-fs@1.6.6 r-fpcompare@0.2.4 r-filelock@1.0.3 r-digest@0.6.39 r-data-table@1.17.8 r-cli@3.6.5
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://reproducible.predictiveecology.org
Licenses: GPL 3
Build system: r
Synopsis: Enhance Reproducibility of R Code
Description:

This package provides a collection of high-level, machine- and OS-independent tools for making reproducible and reusable content in R. The two workhorse functions are Cache() and prepInputs()'. Cache() allows for nested caching, is robust to environments and objects with environments (like functions), and deals with some classes of file-backed R objects e.g., from terra and raster packages. Both functions have been developed to be foundational components of data retrieval and processing in continuous workflow situations. In both functions, efforts are made to make the first and subsequent calls of functions have the same result, but faster at subsequent times by way of checksums and digesting. Several features are still under development, including cloud storage of cached objects allowing for sharing between users. Several advanced options are available, see ?reproducibleOptions()'.

r-rmonize 2.0.0
Propagated dependencies: r-tidyr@1.3.1 r-stringr@1.6.0 r-rlang@1.1.6 r-madshapr@2.0.0 r-haven@2.5.5 r-fs@1.6.6 r-fabr@2.1.1 r-dplyr@1.1.4 r-crayon@1.5.3
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://github.com/maelstrom-research/Rmonize/
Licenses: GPL 3
Build system: r
Synopsis: Tools for Data Harmonization
Description:

Integrated tools to support rigorous and well documented data harmonization based on Maelstrom Research guidelines. The package includes functions to assess and prepare input elements, apply specified processing rules to generate harmonized datasets, validate data processing and identify processing errors, and document and summarize harmonized outputs. The harmonization process is defined and structured by two key user-generated documents: the DataSchema (specifying the list of harmonized variables to generate across datasets) and the Data Processing Elements (specifying the input elements and processing algorithms to generate harmonized variables in DataSchema formats). The package was developed to address key challenges of retrospective data harmonization in epidemiology (as described in Fortier I and al. (2017) <doi:10.1093/ije/dyw075>) but can be used for any data harmonization initiative.

r-rres 1.1
Propagated dependencies: r-rcpp@1.1.0 r-kernlab@0.9-33
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://cran.r-project.org/package=rres
Licenses: GPL 2+
Build system: r
Synopsis: Realized Relatedness Estimation and Simulation
Description:

This package provides functions for studying realized genetic relatedness between people. Users will be able to simulate inheritance patterns given pedigree structures, generate SNP marker data given inheritance patterns, and estimate realized relatedness between pairs of individuals using SNP marker data. See Wang (2017) <doi:10.1534/genetics.116.197004>. This work was supported by National Institutes of Health grants R37 GM-046255.

r-rgremlinsconjoint 0.9.1
Propagated dependencies: r-bayesm@3.1-7
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://github.com/statuser/RGremlinsConjoint
Licenses: Expat
Build system: r
Synopsis: Estimate the "Gremlins in the Data" Model for Conjoint Studies
Description:

The tools and utilities to estimate the model described in "Gremlin's in the Data: Identifying the Information Content of Research Subjects" (Howell et al. (2021) <doi:10.1177/0022243720965930>) using conjoint analysis data such as that collected in Sawtooth Software's Lighthouse or Discover products. Additional utilities are included for formatting the input data.

r-rtiktoken 0.0.7
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://davzim.github.io/rtiktoken/
Licenses: Expat
Build system: r
Synopsis: Byte-Pair-Encoding (BPE) Tokenizer for OpenAI's Large Language Models
Description:

This package provides a thin wrapper around the tiktoken-rs crate, allowing to encode text into Byte-Pair-Encoding (BPE) tokens and decode tokens back to text. This is useful to understand how Large Language Models (LLMs) perceive text.

r-rmkdiscrete 0.2
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://cran.r-project.org/package=RMKdiscrete
Licenses: GPL 2+
Build system: r
Synopsis: Sundry Discrete Probability Distributions
Description:

Sundry discrete probability distributions and helper functions.

r-regdif 1.1.1
Propagated dependencies: r-statmod@1.5.1 r-foreach@1.5.2
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://cran.r-project.org/package=regDIF
Licenses: Expat
Build system: r
Synopsis: Regularized Differential Item Functioning
Description:

This package performs regularization of differential item functioning (DIF) parameters in item response theory (IRT) models (Belzak & Bauer, 2020) <https://pubmed.ncbi.nlm.nih.gov/31916799/> using a penalized expectation-maximization algorithm.

r-rpls 0.6.0
Propagated dependencies: r-robustbase@0.99-6 r-pcapp@2.0-5
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://cran.r-project.org/package=rpls
Licenses: GPL 3+
Build system: r
Synopsis: Robust Partial Least Squares
Description:

This package provides a robust Partial Least-Squares (PLS) method is implemented that is robust to outliers in the residuals as well as to leverage points. A specific weighting scheme is applied which avoids iterations, and leads to a highly efficient robust PLS estimator.

r-ribiosutils 1.7.7
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://github.com/bedapub/ribiosUtils
Licenses: GPL 3
Build system: r
Synopsis: Utilities from and Interface to the 'Bioinfo-C' ('BIOS') Library
Description:

This package provides interface to the Bioinfo-C (internal name: BIOS') library and utilities. ribiosUtils is a Swiss-knife for computational biology in drug discovery, providing functions and utilities with minimal external dependency and maximal efficiency.

r-rwunderground 0.1.8
Propagated dependencies: r-tibble@3.3.0 r-lubridate@1.9.4 r-httr@1.4.7 r-dplyr@1.1.4 r-countrycode@1.6.1
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://github.com/ALShum/rwunderground
Licenses: GPL 2+
Build system: r
Synopsis: R Interface to Weather Underground API
Description:

This package provides tools for getting historical weather information and forecasts from wunderground.com. Historical weather and forecast data includes, but is not limited to, temperature, humidity, windchill, wind speed, dew point, heat index. Additionally, the weather underground weather API also includes information on sunrise/sunset, tidal conditions, satellite/webcam imagery, weather alerts, hurricane alerts and historical high/low temperatures.

r-rtpcr 2.1.5
Propagated dependencies: r-tidyr@1.3.1 r-reshape2@1.4.5 r-purrr@1.2.0 r-multcomp@1.4-29 r-lmertest@3.1-3 r-lme4@1.1-37 r-lifecycle@1.0.4 r-ggplot2@4.0.1 r-emmeans@2.0.0 r-dplyr@1.1.4
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://mirzaghaderi.github.io/rtpcr/
Licenses: GPL 3
Build system: r
Synopsis: qPCR Data Analysis
Description:

This package provides tools for qPCR data analysis using Delta Ct and Delta Delta Ct methods, including t-test, Wilcoxon-test, ANOVA models, and publication-ready visualizations. The package supports multiple target, and multiple reference genes, and uses a calculation framework adopted from Ganger et al. (2017) <doi:10.1186/s12859-017-1949-5> and Taylor et al. (2019) <doi:10.1016/j.tibtech.2018.12.002>, covering both the Livak and Pfaffl methods.

r-refund-shiny 1.1.1
Propagated dependencies: r-tidyr@1.3.1 r-shiny@1.11.1 r-reshape2@1.4.5 r-refund@0.1-38 r-plotly@4.11.0 r-lme4@1.1-37 r-gridextra@2.3 r-ggplot2@4.0.1 r-dplyr@1.1.4
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://github.com/refunders/refund.shiny
Licenses: GPL 2+
Build system: r
Synopsis: Interactive Plotting for Functional Data Analyses
Description:

This package produces Shiny applications for different types of popular functional data analyses. The functional data analyses are implemented in the refund package, then refund.shiny reads in the refund object and implements an object-specific set of plots based on the object class using S3.

r-ri2 0.4.1
Propagated dependencies: r-randomizr@1.0.0 r-pbapply@1.7-4 r-ggplot2@4.0.1 r-generics@0.1.4 r-estimatr@1.0.6
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://cran.r-project.org/package=ri2
Licenses: Expat
Build system: r
Synopsis: Randomization Inference for Randomized Experiments
Description:

Randomization inference procedures for simple and complex randomized designs, including multi-armed trials, as described in Gerber and Green (2012, ISBN: 978-0393979954). Users formally describe their randomization procedure and test statistic. The randomization distribution of the test statistic under some null hypothesis is efficiently simulated.

r-rfieldclimate 0.1.1
Propagated dependencies: r-tidyr@1.3.1 r-purrr@1.2.0 r-magrittr@2.0.4 r-lubridate@1.9.4 r-jsonlite@2.0.0 r-httr@1.4.7 r-dplyr@1.1.4 r-digest@0.6.39
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://cran.r-project.org/package=rfieldclimate
Licenses: GPL 3
Build system: r
Synopsis: Client for the 'FieldClimate' API
Description:

This package provides functionality to interact with the FieldClimate API <https://api.fieldclimate.com/v2/docs/>.

r-rcdea 1.0
Propagated dependencies: r-np@0.60-18 r-benchmarking@0.33
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://cran.r-project.org/package=rcDEA
Licenses: GPL 2
Build system: r
Synopsis: Robust and Conditional Data Envelopment Analysis (DEA)
Description:

With this package we provide an easy method to compute robust and conditional Data Envelopment Analysis (DEA), Free Disposal Hull (FDH) and Benefit of the Doubt (BOD) scores. The robust approach is based on the work of Cazals, Florens and Simar (2002) <doi:10.1016/S0304-4076(01)00080-X>. The conditional approach is based on Daraio and Simar (2007) <doi:10.1007/s11123-007-0049-3>. Besides we provide graphs to help with the choice of m. We relay on the Benchmarking package to compute the efficiency scores and on the np package to compute non parametric estimation of similarity among units.

r-rsurveillance 0.2.1
Propagated dependencies: r-mc2d@0.2.1 r-epitools@0.5-10.1 r-epir@2.0.91
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://github.com/roStats/RSurveillance
Licenses: GPL 2 GPL 3
Build system: r
Synopsis: Design and Analysis of Disease Surveillance Activities
Description:

This package provides a range of functions for the design and analysis of disease surveillance activities. These functions were originally developed for animal health surveillance activities but can be equally applied to aquatic animal, wildlife, plant and human health surveillance activities. Utilities are included for sample size calculation and analysis of representative surveys for disease freedom, risk-based studies for disease freedom and for prevalence estimation. This package is based on Cameron A., Conraths F., Frohlich A., Schauer B., Schulz K., Sergeant E., Sonnenburg J., Staubach C. (2015). R package of functions for risk-based surveillance. Deliverable 6.24, WP 6 - Decision making tools for implementing risk-based surveillance, Grant Number no. 310806, RISKSUR (<https://www.fp7-risksur.eu/sites/default/files/documents/Deliverables/RISKSUR_%28310806%29_D6.24.pdf>). Many of the RSurveillance functions are incorporated into the epitools website: Sergeant, ESG, 2019. Epitools epidemiological calculators. Ausvet Pty Ltd. Available at: <http://epitools.ausvet.com.au>.

r-raters 2.1.1
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://cran.r-project.org/package=raters
Licenses: GPL 2+
Build system: r
Synopsis: Modification of Fleiss' Kappa in Case of Nominal and Ordinal Variables
Description:

The kappa statistic implemented by Fleiss is a very popular index for assessing the reliability of agreement among multiple observers. It is used both in the psychological and in the psychiatric field. Other fields of application are typically medicine, biology and engineering. Unfortunately,the kappa statistic may behave inconsistently in case of strong agreement between raters, since this index assumes lower values than it would have been expected. We propose a modification kappa implemented by Fleiss in case of nominal and ordinal variables. Monte Carlo simulations are used both to testing statistical hypotheses and to calculating percentile bootstrap confidence intervals based on proposed statistic in case of nominal and ordinal data.

r-rfishbase 5.0.2
Propagated dependencies: r-xml2@1.5.0 r-stringr@1.6.0 r-rlang@1.1.6 r-purrr@1.2.0 r-memoise@2.0.1 r-magrittr@2.0.4 r-glue@1.8.0 r-duckdbfs@0.1.2 r-dplyr@1.1.4
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://docs.ropensci.org/rfishbase/
Licenses: CC0
Build system: r
Synopsis: R Interface to 'FishBase'
Description:

This package provides a programmatic interface to FishBase', re-written based on an accompanying RESTful API. Access tables describing over 30,000 species of fish, their biology, ecology, morphology, and more. This package also supports experimental access to SeaLifeBase data, which contains nearly 200,000 species records for all types of aquatic life not covered by FishBase.'.

r-rnewsflow 1.2.8
Propagated dependencies: r-wordcloud@2.6 r-stringi@1.8.7 r-scales@1.4.0 r-rcppprogress@0.4.2 r-rcppeigen@0.3.4.0.2 r-rcpp@1.1.0 r-quanteda@4.3.1 r-matrix@1.7-4 r-igraph@2.2.1 r-data-table@1.17.8
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://cran.r-project.org/package=RNewsflow
Licenses: GPL 3
Build system: r
Synopsis: Tools for Comparing Text Messages Across Time and Media
Description:

This package provides a collection of tools for measuring the similarity of text messages and tracing the flow of messages over time and across media.

r-radwords 0.1.18
Propagated dependencies: r-rjson@0.2.23 r-rcurl@1.98-1.17
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://github.com/jburkhardt/RAdwords
Licenses: Expat
Build system: r
Synopsis: Loading Google Adwords Data into R
Description:

Aims at loading Google Adwords data into R. Adwords is an online advertising service that enables advertisers to display advertising copy to web users (see <https://developers.google.com/adwords/> for more information). Therefore the package implements three main features. First, the package provides an authentication process for R with the Google Adwords API (see <https://developers.google.com/adwords/api/> for more information) via OAUTH2. Second, the package offers an interface to apply the Adwords query language in R and query the Adwords API with ad-hoc reports. Third, the received data are transformed into suitable data formats for further data processing and data analysis.

r-ramcharts4 1.6.0
Propagated dependencies: r-xml2@1.5.0 r-stringr@1.6.0 r-shiny@1.11.1 r-reactr@0.6.1 r-minpack-lm@1.2-4 r-lubridate@1.9.4 r-jsonlite@2.0.0 r-htmlwidgets@1.6.4 r-htmltools@0.5.8.1 r-base64enc@0.1-3
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://github.com/stla/rAmCharts4
Licenses: GPL 3
Build system: r
Synopsis: Interface to the JavaScript Library 'amCharts 4'
Description:

This package creates JavaScript charts. The charts can be included in Shiny apps and R markdown documents, or viewed from the R console and RStudio viewer. Based on the JavaScript library amCharts 4 and the R packages htmlwidgets and reactR'. Currently available types of chart are: vertical and horizontal bar chart, radial bar chart, stacked bar chart, vertical and horizontal Dumbbell chart, line chart, scatter chart, range area chart, gauge chart, boxplot chart, pie chart, and 100% stacked bar chart.

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